Practical information about Machine learning systems

Machine learning systems are made up of three major parts, which are:

  1. Model: the system that makes predictions or identifications.
  2. Parameters: the signals or factors used by the model to form its decisions.
  3. Learner: the system that adjusts the parameters — and in turn the model — by looking at differences in predictions versus actual outcome… Everything starts with the model, a prediction that the machine learning system will use.

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